jiangqn / GCN-GAN-pytorchLinks
A pytorch implemention of GCN-GAN for temporal link prediction.
☆105Updated 5 years ago
Alternatives and similar repositories for GCN-GAN-pytorch
Users that are interested in GCN-GAN-pytorch are comparing it to the libraries listed below
Sorting:
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆247Updated 4 years ago
- Representation learning on dynamic graphs using self-attention networks☆297Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆95Updated 2 years ago
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆36Updated 6 years ago
- ☆53Updated 5 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Graph Attention Auto-Encoders☆78Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆93Updated 3 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆263Updated 2 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆204Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆117Updated 3 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆105Updated last year
- ☆69Updated 3 years ago
- ☆97Updated 4 years ago
- ☆328Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆354Updated 5 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- ☆44Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆231Updated 2 years ago
- ☆29Updated 5 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆183Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆439Updated last year
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year